CrowdStrike

Senior Data Scientist
2025-Present

• Developed first known ML approach to LDAP reconnaissance detection, deploying an ML solution that achieved 81.48% field precision. Results patent-pending, presented at Fal.Con conference, and published to KDD 2026 Proceedings.
• Delivered first ever ML-based product abuse detection for security platforms, discovering 11x more product abuse incidents than existing solutions while reducing alert volume by 30%. Results are patent-pending and publication-pending.
• Filed 10 patents for novel inventions at the intersection of AI and cybersecurity
• Managed summer intern through multi-faceted project involving clustering, causal inference, and sequential hypothesis testing, creating a solution that improved coverage 3x compared to baselines
• 3x Fal.Con presenter

Data Scientist III
2022-2025

• Parsed through terabytes of data to add 20 asset role classifications to CrowdStrike’s Exposure Management product, presenting the solution in front of stakeholders at the Fal.Con cybersecurity conference
• Improved host mapping capabilities through machine learning in Falcon Surface, inventing novel techniques involving similarity search, clustering, and LLM-based weak supervision
• Developed churn and cross-sell models for E-Commerce team, effectively reducing customer churn and increasing cross-sells when compared to prior methods